Triple
T7738530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Public Law 106-386 |
E175444
|
entity |
| Predicate | instanceOf |
P0
|
FINISHED |
| Object | anti-human trafficking law |
C6675
|
CONCEPT FINISHED |
How this triple was built (1 step)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
CD
Concept disambiguation
gpt-5-mini-2025-08-07
Target class: anti-human trafficking law Context triple: [Public Law 106-386, instanceOf, anti-human trafficking law]
-
A.
anti-trafficking legislation
chosen
Anti-trafficking legislation comprises laws and regulations designed to prevent and punish human trafficking, protect and support victims, and promote cooperation among institutions and jurisdictions to combat trafficking effectively.
-
B.
human trafficking victim protection measure
A human trafficking victim protection measure is a policy, procedure, or intervention designed to identify, safeguard, and support individuals who have been trafficked, ensuring their safety, rights, and access to necessary services.
-
C.
human trafficking assessment
A human trafficking assessment is a structured evaluation process used to identify potential victims, determine risk factors and exploitation indicators, and guide appropriate protection and intervention measures.
-
D.
anti-drug legislation
Anti-drug legislation comprises laws and regulations designed to control, restrict, or prohibit the production, distribution, possession, and use of certain drugs, often with the goals of protecting public health, reducing crime, and regulating pharmaceutical and recreational substances.
-
E.
human rights law
Human rights law is the body of international and domestic legal norms that protects the fundamental rights and freedoms inherent to all individuals against abuse by states and other actors.
- F. None of above.
Provenance (1 batch)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
Created at: March 27, 2026, 4:07 p.m.